What Bottlenecks Your AI?
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While building Lizard, we found that many performance bottlenecks weren't inside the model kernels-they came from memory planning, scheduling, CPU--GPU synchronization, and execution orchestration.
If you build or run local LLMs:
What's your biggest bottleneck today?
VRAM?
Token latency?
Model loading?
Context length?
Something else?
We're curious what problems you encounter most often.
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